Awesome Multi-Objective Optimization 
A curated list of awesome multi-objective optimization research resources. Inspired by awesome-360-vision, awesome-architecture-search, awesome-deep-vision, awesome-adversarial-machine-learning and awesome-deep-learning-papers. Still working on it, any suggestions of missing reference are welcome.
Table of Contents
Papers
Reinforcement Learning
Survey
- A survey of multi-objective sequential decision-making. [pdf]
- Roijers, Diederik M., et al. JAIR 2013
- Multiobjective reinforcement learning: A comprehensive overview. [pdf]
- C. Liu, X. Xu, D. Hu IEEE SMC 2015
Single Policy
Weighted-Sum Approach
- Learning to solve multiple goals. [pdf]
- J. Karlsson.
- Multiple-goal reinforcement learning with modular sarsa (0). [pdf]
- N. Sprague, D. Ballard. IJCAI 2003
- A multiple goal reinforcement learn-ing method for complex vehicle overtaking maneuver. [pdf]
- DCK Ngai, NHC Yung. WCICA 2010
- Self-adaptive multi-objective optimization method design based on agent reinforcement learning for elevator group control systems. [pdf]
- F. Zeng, Q. Zong, Z. Sun, L. Dou. IEEE Trans. Intell. Trans. Syst 2011
- Managing power consumption and performance of computing systems using reinforcement learning. [pdf]
- Tesauro, Gerald, et al. NIPS 2018
W-Learning Approach
- Action selection methods using reinforcement learning. [pdf]
- M Humphrys.
Analytic Hierarchy Process Approach
- A multi-objective optimization genetic algorithm incorporating preference information. [pdf]
- X Shen, Y Guo, Q Chen, W Hu.
- Multi-objective reinforcement learning algorithm for MOSDMP in unknown environment. [pdf]
- Zhao, Yun, Qingwei Chen, and Weili Hu. WCICA 2010
Ranking Approach
- Multi-criteria reinforcement learning. [pdf]
- Z Gábor, Z Kalmár, C Szepesvári. ICML 1998
- Reinforcement learning with bounded risk. [pdf]
- P Geibel. ICML 2001
- Multi-objective reinforcement learning based routing in cognitive radio networks: Walking in a random maze. [pdf]
- K. Zheng, H. Li, RC. Qiu, S. Gong. ICNC 2012
Geometric Approach
- A geometric approach to multi-criterion reinforcement learning. [pdf]
- S. Mannor, N. Shimkin. JMLR 2014
- The steering approach for multi-criteria reinforcement learning. [pdf]
- S. Mannor, N. Shimkin. NIPS 2002
Multiple Policy
Convex Hull Approach
- Learning all optimal policies with multiple criteria. [pdf]
- Barrett, Leon, and Srini Narayanan. ICML 2008
Varying Parameter Approach
- Importance sampling for reinforcement learning with multiple objectives. [pdf]
- CR Shelton.
Evolutionary Algorithms
Survey
- Multiobjective evolutionary algorithms: A survey of the state of the art [pdf]
- Zhou, Aimin, et al.
- Many-Objective Evolutionary Algorithms: A Survey [pdf]
- B Li, J Li, K Tang, X Yao. CSUR 2015
Dominance Based
- A fast and elitist multiobjective genetic algorithm: NSGA-II [pdf] [Official] [python] [C++] [Java]
- K. Deb, A. Pratap, S. Agarwal, T. Meyarivan. IEEE Transactions on Evolutionary Computation 2012
- SPEA2: Improving the Strength Pareto Evolutionary Algorithm [pdf] [official]
- E. Zitzler, M. Laumanns, L. Thiele. TIK-report 2001
- ISPEA: improvement for the strength Pareto evolutionary algorithm for multiobjective optimization with immunity [pdf]
- M. Hongyun, L. Sanyang. ICCIMA 2003
- Applications of Vector Evaluated Genetic Algorithms (VEGA) in Ultimate Limit State Based Ship Structural Design [pdf]
- O. Hughes, M. Ma, JK. Paik. ASME 2014
- Shift-based density estimation for Pareto-based algorithms in many-objective optimization [pdf]
- M Li, S Yang, X Liu. IEEE Transactions on Evolutionary Computation 2014
- The Pareto archived evolution strategy: a new baseline algorithm for Pareto multiobjective optimisation (PAES) [pdf]
- Knowles, Joshua, and David Corne. CEC 1999
Aggregation Based
- MOEA/D: A multiobjective evolutionary algorithm based on decomposition [pdf] [R] [python] [java]
- Q Zhang, H Li. IEEE Transactions on Evolutionary Computation 2007
- Normal-boundary intersection: A new method for generating the pareto surface in nonlinear multicriteria optimization problems [pdf]
- I Das, JE Dennis. SIAM Journal on Optimization 1998
- Many-objective directed evolutionary line search [pdf]
- Hughes, E. James. GECCO 2011
- Ranking methods for many-objective optimization [pdf]
- M. Garza-Fabre, GT Pulido, CAC Coello. MICAI 2009
- A decomposition based evolutionary algorithm for many objective optimization with systematic sampling and adaptive epsilon control [pdf]
- Asafuddoula, Md, Tapabrata Ray, and Ruhul Sarker. EMO 2013
- Ranking-dominance and many-objective optimization [pdf]
- Kukkonen, Saku, and Jouni Lampinen. CEC 2017
Indicator Based
- HypE: An algorithm for fast hypervolume-based many-objective optimization [pdf]
- J. Bader, E. Zitzler.
- An EMO algorithm using the hypervolume measure as selection criterion [pdf]
- M. Emmerich, N. Beume, B. Naujoks. EMO 2015
- Approximation-guided evolutionary multi-objective optimization. [pdf]
- Bringmann, Karl, et al. IJCAI 2011
- On the properties of the R2 indicator. [pdf]
- Brockhoff, Dimo, T. Wagner, and H. Trautmann. GECCO 2012
- MOMBI: A new metaheuristic for many-objective optimization based on the R2 indicator. [pdf]
- Gómez, Raquel Hernández, and Carlos A. Coello Coello. CEC 2013
- A ranking method based on the R2 indicator for many-objective optimization. [pdf]
- Díaz-Manríquez, Alan, et al. CEC 2013
License
To the extent possible under law, Anjie Zheng has waived all copyright and related or neighboring rights to this work.